MGMT 362 - AI-enhanced Service Management and Quality Improvement

Units: 3
Introduces basic principles related to effective management of service operations and quality management in an AI-driven service sector. Topics include service strategy and design, statistical process control and continuous improvement, reliability measurement, queuing analysis, yield management, technology and simulation.

Prerequisites: Completion of GE areas A1, A2 and A3.
Possible Instructional Methods: On-ground, or Online-Asynchronous, or Online-Synchronous.
Grading: A-F grading only.
Course Typically Offered: Fall ONLY

Student Learning Outcomes - Upon successful completion of this course students will be able to:

Demonstrate familiarity and a working knowledge of the principles and practice of operations management in the service industry.
Apply concepts and applications of quality management to manage and improve quality, productivity, and reliability in service organizations.
Utilize quantitative and qualitative methods and software applications in managing service operations and improving quality.